обновлено 4 дня назад
Senior Manager, Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Science (AI): Leading enterprise data science initiatives across forecasting, optimization, predictive analytics, machine learning, and Generative AI with an accent on cloud AI platforms, responsible AI, and analytics translation. Focus on building production-scale AI solutions, applying LLMOps and MLOps governance, and mentoring teams delivering measurable impact across commercial, supply chain, and manufacturing functions.
Location: Fort Worth, Texas, United States; onsite
Company
develops innovative eye-care products and solutions to help people see brilliantly.
What you will do
- Lead and develop a high-performing Data Science team delivering enterprise analytics initiatives.
- Drive forecasting, optimization, predictive analytics, statistical modeling, machine learning, and Generative AI projects.
- Partner with Data Strategy, business, and technology stakeholders to prepare data and translate analytics into actionable business insights.
- Guide architecture decisions for AI platforms, cloud infrastructure, data pipelines, and enterprise analytics capabilities.
- Operationalize AI and Generative AI solutions using platforms such as AWS Bedrock, Azure AI, and OpenAI.
- Establish model lifecycle management, observability, governance, security, compliance, monitoring, and continuous improvement practices.
Requirements
- Bachelor’s degree or equivalent directly related experience; alternative education and experience combinations are accepted.
- At least 7 years of relevant experience and 5 years of demonstrated leadership.
- Fluent English communication skills are required.
- Experience leading Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics initiatives.
- Experience developing, validating, deploying, and monitoring production machine learning and statistical models.
- Experience with Python, SQL, cloud AI platforms, MLOps, model governance, feature engineering, and enterprise data pipelines.
Nice to have
- Master’s degree in Data Science, Analytics, Computer Science, Business Administration, Statistics, Engineering, or a related field.
- Experience with AWS, SageMaker, Bedrock, Azure AI, or similar platforms.
- Experience supporting Commercial, Sales, Marketing, Supply Chain, Manufacturing, or Digital Transformation initiatives.
Culture & Benefits
- Collaborative and diverse working environment.
- Health, life, retirement, and paid-time-off benefits.
- Visa sponsorship is available.
- Relocation is not available.
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